Journal
COMPUTERS AND ELECTRONICS IN AGRICULTURE
Volume 89, Issue -, Pages 10-17Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.compag.2012.07.016
Keywords
Model-free sensor fusion; Swarm intelligence; Fuzzy voting
Funding
- German Federal Ministry of Education and Research (BMBF) [01 IA08005 P]
Ask authors/readers for more resources
In this paper a low-level sensor fusion approach inspired by distributed decision making in swarms of social insects is proposed for application in agricultural machinery. In contrast to the state-of-the-art this approach is not dependent on a system or sensor model. Instead it rather employs a majority voting heuristic-based on the relative sensor distances. The ability to deal with very sparse system information and computational resources makes it ideally suited for on-board use in the agricultural domain. This is because it can be utilized to combine sensor data across machine or manufacturer borders. The most prominent and common example for this are tractor implement combinations. As shown in the simulations and experiments the fuzzy voter provides the ability to reliably identify poor measurements and eliminate conflicting data. This way a consistent data basis is provided that can be employed for higher level functions on the machines. (C) 2012 Elsevier B.V. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available